2026-01-26 13:08
🚀 Exciting updates for Unreal Engine users! Rider's debugger has seen a major upgrade with the expression evaluator being rewritten. Variable inspection is now up to 87 times faster on warm runs and 16 times faster on cold runs. Memory usage has also decreased significantly. These improvements are available in Rider 2026.1 EAP 1. Check it out today! #UnrealEngine #Rider #Debugging #GameDevelopment #TechUpdate
Sasha Korepanov
2026-01-23 17:46
🚀 Introducing GIST: a groundbreaking algorithm designed for smart data sampling! GIST offers a solution for selecting high-quality data subsets that maximize both diversity and utility. This is crucial as modern machine learning requires handling vast datasets efficiently. The algorithm balances two key objectives: ensuring selected data points are diverse and useful for training accurate models. GIST has shown superior performance in tasks like image classification, backed by mathematical...
2026-01-23 08:01
Red Hat OpenShift Dev Spaces is designed for single-cluster use, but it can operate in multi-cluster environments. By deploying instances in each cluster and using load balancers or DNS routing, organizations can enhance performance and reliability. 🌐 The devspaces-multicluster-redirector is an open-source routing service that directs users to the correct Dev Spaces instance based on their OpenShift group membership. This allows for efficient management of multiple instances, ensuring users...
Ilya Buziuk
2026-01-22 22:22
🚀 The transformer architecture is transforming generative AI, enabling large language models like GPT and Llama. Its self-attention mechanism allows for parallel processing, but faces challenges with memory and computation due to quadratic complexity. 🔍 FlashAttention offers a solution, improving efficiency by reducing memory access and combining computational steps into an optimized GPU kernel. 📈 This innovation lowers memory complexity and enhances training speed, allowing models to manage...
Johnny Núñez
2026-01-22 22:00
🚀 AI technology is rapidly advancing, with a focus on building responsible and calibrated AI agents. This article explores a real-world use case involving a telecom churn-prevention AI agent, emphasizing the importance of trust and reliability in AI systems. The findings may apply across various industries, highlighting the need for ethical AI development. #AI #TechInnovation #MachineLearning #EthicalAI #Databricks
2026-01-22 18:37
🚀 In a recent Engineering Energizers Q&A, Muralidhar Krishnaprasad (MK), President and CTO of C360 Platform, shared insights on unifying Salesforce’s core platform layers into Agentforce 360. 🛠️ MK’s team focuses on integrating data, agents, and applications to create a cohesive architecture. This transformation aims to enhance real-time, AI-driven experiences for enterprise applications. 🌐 The unified data layer is key, harmonizing signals and ensuring consistent context across applications....
Scott Nyberg
2026-01-22 16:56
Unlocking user intent from UI interactions is crucial for enhancing mobile experiences. 📱 A recent study introduces a method using small multimodal models to effectively predict user actions without relying on large, resource-heavy models. By breaking down intent extraction into two stages, the approach maintains high accuracy while operating on-device, ensuring user privacy. 🔍 This innovative technique shows promise for future AI agents that can better anticipate user needs based on past...
2026-01-22 13:00
Ankur Goyal from Braintrust discusses testing the hypothesis that "bash is all you need" for AI agents. They evaluated three agent approaches: SQL, Bash, and Filesystem agents on querying GitHub issues. SQL achieved 100% accuracy, while Bash and Filesystem lagged behind. The results showed that combining SQL and Bash into a hybrid agent improved accuracy and verification. This highlights the importance of evaluating tools to enhance AI performance. 🔍💻📊 #AI #DataAnalysis #TechInsights...
Andrew Qu
2026-01-21 22:00
🚀 The AI landscape is evolving from just smart suggestions to autonomous contributions. Tools like Claude Code and GitHub Copilot Workspace are now tackling complex tasks independently. However, code verification is becoming a significant bottleneck. For agents to truly enhance productivity, they must operate in a closed-loop system that includes real runtime data. Without this, human developers are left to troubleshoot integration errors, slowing down progress. As noted by Boris Cherny,...
Arjun Iyer
2026-01-21 21:28
🚀 CUB is a C++ library essential for high-performance GPU algorithms, known for its two-phase API that separates memory estimation from allocation. This can lead to repetitive code. With the recent shift to the single-call API in CUDA 13.1, developers can now simplify memory management without losing performance. CUB allows for efficient execution of algorithms like scan and sort directly in custom kernels, making it a powerful tool for harnessing NVIDIA GPUs. Learn more about CUB in NVIDIA's...
Giannis Gonidelis
2026-01-21 20:00
At Databricks, maintaining reliability while shipping software quickly is essential. They developed a high-availability feature flagging system that ensures zero downtime for their global infrastructure. This system allows for efficient feature deployment while minimizing disruptions. Learn more about this innovative approach to feature flagging! 💻🔧🌍 #Databricks #SoftwareDevelopment #FeatureFlagging #ZeroDowntime #Engineering
2026-01-21 18:00
🚀 The article discusses the challenges of building a scalable interface assistant for payments and transactions. Initial attempts with single-agent systems were ineffective due to organizational complexity. The breakthrough came with a graph-based orchestration model, allowing for a coordinated system of specialized agents. Key issues tackled include routing, context preservation, and scalability. Each domain has a dedicated supervisor node to manage requests efficiently. #AI #TechInnovation...
Abhishek Sant
2026-01-21 18:00
Arctic Wolf has developed a Liquid Clustering Architecture designed to handle petabyte-scale data. This innovative system processes over one trillion events daily, effectively managing billions of data points. The architecture enhances data handling capabilities, making it suitable for large-scale operations in various industries. Stay informed about advancements in data processing! 🌐💡 #DataArchitecture #TechInnovation #Cybersecurity #BigData #ArcticWolf
2026-01-21 07:16
The Open Virtual Network (OVN) has introduced transit routers (TRs) to simplify the deployment and configuration of routing across multiple availability zones (AZs). Previously, adding a transit router required manual management of logical routers and tunnel keys, which was prone to errors. With TRs integrated into OVN Interconnect, users can now configure routers across AZs without the hassle of manual input. 🌐 The OVN Interconnect feature connects multiple OVN deployments using shared...
Mairtin O'Loingsigh
2026-01-21 01:00
🚀 AI technology is rapidly advancing, with a focus on building responsible and calibrated AI agents. This article explores a real-world use case involving a telecom churn-prevention AI agent, emphasizing the importance of trust and reliability in AI systems. The findings may apply across various industries, highlighting the need for ethical AI development. #AI #TechInnovation #MachineLearning #EthicalAI #Databricks
2026-01-21 00:23
At Grab, we focused on reducing container startup times for our data platforms. By implementing Docker lazy loading with eStargz and Seekable OCI (SOCI), we achieved significant improvements. Our tests showed that SOCI maintained startup times similar to standard images while reducing image pull times. This led to 30-40% faster startup for services like Airflow and Spark Connect, enhancing scalability and user experience. 📊🚀 Configuring SOCI settings based on AWS recommendations led to a 60%...
2026-01-19 08:16
🔍 Dive into the details of the Software Catalog and Templates in Red Hat Developer Hub. This article explores how components are structured, including common fields and metadata essential for effective organization. It highlights the importance of tags, annotations, and the relationship between components, resources, and APIs. For developers looking to enhance their workflow, understanding these elements is crucial. Learn more about how Red Hat Developer Hub can optimize your software...
Joshua Canter
2026-01-16 20:02
Etsy's Search Relevance team is enhancing the shopping experience by tackling search accuracy. They've developed a Semantic Relevance Evaluation and Enhancement Framework using large language models (LLMs). This approach captures how well listings align with buyer intent, complementing traditional engagement metrics. Key components include high-quality human-curated data, semantic relevance models, and real-time applications to improve search outcomes for both buyers and sellers. Stay tuned...
Yuqing Zhang
2026-01-16 14:30
🚀 Uber leverages Apache Hudi™ to manage vast data lakes, handling trillions of records and petabytes of data efficiently. 🌍 The system supports high-concurrency table services across multiple regions, showcasing Uber's commitment to scalable data engineering. 🔍 Discover the technical insights that enable this massive operation! #ApacheHudi #DataEngineering #UberTech #BigData #DataManagement
2026-01-16 00:00
🌍 Global operations are evolving with the rise of multi-cluster Elastic deployments using Fleet. Organizations are decentralizing data storage for three main reasons: 1. **Data Sovereignty:** Compliance with regulations requires data to stay within national borders. 2. **Performance & Cost:** Localizing data reduces transfer costs and latency. 3. **Resilience:** Multi-cluster designs enhance system reliability during outages. Learn more about how Fleet supports these needs! #ElasticStack...
Nima Rezainia
2026-01-16 00:00
The article "The Architecture of Agentic Defense: Inside the Falcon Platform" discusses the evolving landscape of cybersecurity. Adversaries are leveraging AI for faster, more sophisticated attacks, which creates a significant gap between them and defenders. Many security teams rely on fragmented systems that require manual effort to connect data. To effectively counter these threats, a new architecture is needed. This includes four key capabilities: semantic unification, autonomous...
Elia Zaitsev
2026-01-15 22:02
🚀 A recent article highlights how Salesforce's internal LLM mock service has transformed AI benchmarking. By simulating LLM behavior, the team saved over $500K annually on costs while improving developer productivity. This mock service allows for performance validation without relying on live LLM providers, reducing variability and external dependencies. The approach enhances scalability and reliability, enabling engineers to focus on system improvements. #Salesforce #AI #Benchmarking...
Scott Nyberg
2026-01-15 08:00
🚀 A recent article explores the performance of OpenShift Container Platform 4.20, focusing on the Telco Core Reference Design and data plane workloads. The study compared three networking configurations: OVN-Kubernetes, MACVLAN, and SR-IOV, assessing their stability and throughput under varying control plane churn rates. Results showed SR-IOV and MACVLAN provided the highest throughput with minimal impact, while OVN-K experienced significant degradation. Notably, pod readiness latency...
Simone Ferlin-Reiter, Raviteja Sahukari
2026-01-15 00:00
Unlocking AI agents in your application isn’t as simple as it seems. 🛠️ The article outlines the API Authorization Hierarchy of Needs, emphasizing the importance of a mature authorization system before integrating AI. Level 1 focuses on application-level authorization for humans, ensuring data isolation and granular roles. Level 2 introduces service accounts for machine-to-machine interactions, allowing automated tasks. Understanding these levels is crucial for secure agentic workflows. 🔐 #AI...
Andrés Aguiar
2026-01-14 20:51
🚀 Facebook Reels has enhanced its video recommendation system by focusing on user feedback instead of just likes and watch time. The new User True Interest Survey (UTIS) model aims to deliver niche, high-quality content, improving engagement and user satisfaction. This approach addresses challenges in personalization and seeks to better align content with users' true interests. Learn more about this innovative model and its impact on user experience in our detailed paper. 📄 #FacebookReels...
2026-01-14 00:00
🌐 A recent update to 1.1.1.1 inadvertently changed the order of CNAME records in DNS responses, leading to resolution failures for some users. The issue arose during an effort to optimize memory usage, with the code change deployed on January 7, 2026. This adjustment affected DNS clients that rely on a specific order of records, highlighting ambiguities in DNS protocols. For more details, check out the full article. #DNS #Networking #TechUpdate #1dot1dot1dot1 #CNAME
Sebastiaan Neuteboom
2026-01-13 23:20
🚀 Exciting developments in AI-driven personalization! Bhumika Sethi, a senior software engineer at Salesforce, discusses how the Data 360 team enhances Agentforce. They focus on unifying customer profiles and engagement signals to deliver real-time, intent-based recommendations. The team addresses the challenge of understanding user intent in conversations, moving beyond traditional web-based personalization methods. This approach ensures agents provide relevant responses based on user...
Scott Nyberg
2026-01-13 20:32
NVIDIA cuOpt is a GPU-accelerated optimization engine aimed at solving complex decision-making problems quickly. It utilizes mixed integer programming (MIP) to handle various challenges, including production planning and supply chain management. By employing accelerated primal heuristics, cuOpt significantly reduces solve times, making it effective for time-sensitive situations. Recent results from the MIPLIB benchmark show improved solution quality compared to traditional CPU solvers....
Piotr Sielski
2026-01-13 20:03
Introducing PinLanding, a new AI-driven pipeline designed to create shopping collections from billions of products. 🛍️ This system leverages multimodal language models to understand user search patterns and generate collections based on product content. Key components include analyzing shopping intents, building a vocabulary of attributes, and constructing feeds for enhanced search precision. Initial results show a significant increase in unique shopping topics and improved search...
Pinterest Engineering
2026-01-13 18:51
At The New York Times, AI tools are transforming how we improve unit test coverage. 🚀 Our platform teams recently leveraged generative AI to boost test coverage from 60% to over 80% across various projects. This initiative aimed to enhance reliability while allowing engineers to focus on development. While AI streamlined the process, human oversight remained essential to ensure quality and accuracy. We're excited to see how these advancements can further support our engineering practices. 🛠️📈...
The NYT Open Team
2026-01-13 17:32
🌟 New advancements in quantum error correction (QEC) are here! Researchers at Google Quantum AI introduced dynamic circuits that enhance QEC by using fewer couplers and eliminating correlated errors. This innovation is vital for achieving the low error rates needed for effective quantum algorithms. In December 2024, the Willow quantum processor successfully demonstrated error correction below threshold levels, showing improved robustness of logical qubits. These dynamic circuits offer a...
2026-01-13 14:30
🚀 Uber has tackled database overload with a new intelligent load manager. This system adapts to various signals and ensures fairness even during high demand. The results? A significant ~70% reduction in P99 latency. Learn more about their journey from static rate-limiting to this smart solution. #Uber #DatabaseManagement #TechInnovation #LoadBalancing #LatencyReduction
2026-01-13 14:00
🚀 Large language models are evolving beyond single-turn prompts, tackling multi-turn conversations and complex workflows. In a recent blog, Red Hat's llm-d solution demonstrates significant performance improvements over traditional vLLM with intelligent routing. By enhancing KV cache locality, llm-d effectively reduces latency and optimizes GPU resource use. This approach ensures smoother user interactions during multi-turn tasks. #AI #OpenShift #MachineLearning #RedHat #LLM
Philip Hayes
2026-01-13 12:30
🚀 Character.ai, collaborating with DigitalOcean and AMD, achieved a 2x increase in GPU performance for their AI platform. By optimizing AMD Instinct™ MI300X and MI325X GPUs, they enhanced request throughput while keeping latency low. Key strategies included advanced parallelization and efficient execution paths. This partnership led to a significant multi-year agreement, showcasing the effectiveness of tailored infrastructure for AI applications. #AI #DigitalOcean #AMD...
Piyush Srivastava
2026-01-13 08:27
🔍 In the latest installment of "Building AI Agents in Kotlin," the focus is on delegation and sub-agents. The article explores how to leverage tracing data to enhance agent performance. It suggests experimenting with a "find sub-agent" to potentially reduce costs and improve efficiency by limiting context growth. By narrowing the context early in the agent's operation, unnecessary distractions can be minimized. This sub-agent utilizes a simpler model, GPT4.1 Mini, to perform its task...
Bruno Lannoo
2026-01-12 19:00
On Monday, an analytics team discovered an issue: transaction volumes surged by 4,700% over the weekend. 🚀 The root cause? Their data pipeline processed the same data 47 times due to a bug in the retry logic. After investigating, they found that fallback mechanisms created a loop, repeatedly reprocessing Saturday's transactions instead of moving forward. 🔄 This incident highlights the importance of thorough testing and monitoring in data systems. 🛠️ #DataAnalytics #DataPipeline #TechIssues...
Pradeep Kalluri
2026-01-12 18:34
🚀 CSS challenges arise with large websites, and Meta has responded by open-sourcing StyleX. StyleX merges the benefits of CSS-in-JS with the efficiency of static CSS. It offers atomic styling, reduces bundle size, and provides a user-friendly API for developers. Used by companies like Figma and Snowflake, StyleX is now standard across Meta's platforms like Facebook and Instagram. Listen to the Meta Tech Podcast for insights from software engineer Melissa, one of StyleX’s maintainers. 🎙️...
2026-01-12 18:02
Airbnb has launched over 20 locally preferred payment methods (LPMs) in just 14 months, enhancing accessibility for guests in over 220 markets. 🌍 These LPMs include digital wallets, online bank transfers, and local payment schemes, making transactions smoother and more inclusive. By focusing on familiar payment options, Airbnb aims to boost bookings and reach new markets. 📈 The initiative also involved a modernization of their payment platform, improving integration speed and reliability. 🔧...
Gerum Haile
2026-01-12 17:52
🌧️ NeuralGCM is revolutionizing the simulation of global precipitation by combining physics-based modeling with AI. This hybrid model, trained on NASA precipitation data, shows significant improvements in forecasting daily precipitation cycles and extreme weather events. NeuralGCM outperforms traditional models, offering enhanced accuracy for medium-range forecasts and long-term climate simulations. This advancement supports better decision-making for farmers and city planners alike....
2026-01-12 13:00
🚀 Mux has introduced the @mux/ai SDK to enhance video workflows. Dylan Jhaveri explains how traditional AI workflows often fail due to network issues or provider errors. This can leave developers in a tough spot, deciding whether to restart or implement complex state management. Durable execution offers a solution. Mux aimed to create an easy-to-adopt SDK, using Vercel's Workflow DevKit to streamline the process for developers. #VideoTech #AI #DeveloperTools #Mux #Innovation
Dylan Jhaveri